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    Home/Jobs/Sr. Machine Learning Engineer

    Sr. Machine Learning Engineer

    Akasa

    South San Francisco / CA
    5+ years
    Today
    ₹146–192 LPA
    Full-time
    Remote

    Skills Required

    LLM
    Probabilistic Inference
    Computer Vision
    Machine Learning
    Data Engineering
    Python
    C++
    Apache Spark
    AWS
    Kubernetes
    Scikit-learn
    PyTorch
    TensorFlow

    Description

    AKASA is a leading provider of generative AI solutions for the healthcare revenue cycle, focused on improving clinical quality and documentation accuracy. The company is experiencing rapid growth and recognized as a top startup employer in healthcare technology.

    Company: AKASA

    Role: Sr. Machine Learning Engineer

    Location: Remote - United States

    Experience:

    • 5+ years of work experience in machine learning and data engineering
    • Experience launching production ML systems from the ground up

    Key Skills:

    • Machine Learning
    • Large Language Models
    • Python
    • C++
    • Spark
    • AWS
    • Kubernetes
    • Scikit-Learn
    • Pytorch
    • TensorFlow
    • Probabilistic inference
    • Computer vision

    Qualification:

    • Master's degree in Computer Science or similar

    Role Focus:

    • Develop state-of-the-art ML solutions for large-scale healthcare problems
    • Own ML services end-to-end including problem discovery, data pipeline development, inference optimizations, model experimentation, and service deployment
    • Develop pipelines to collect, preprocess, and deliver data with measurable quality
    • Write production-ready software with well-tested and efficient algorithms
    • Develop ML algorithms for medical document entity extraction, medical coding, and claim outcome prediction
    • Build novel, application-specific ML models with ML at their core

    Additional responsibilities:

    • Work with large proprietary medical and clinical datasets containing structured documents, natural language, and images
    • Collaborate with a team of PhD Researchers, ML Engineers, and healthcare experts
    • Attend weekly co-working days in the Bay Area office

    Nice to have:

    • Experience directly training or fine-tuning Large Language Models
    • Experience with agentic workflows for LLMs

    Other:

    • Flexible paid time off (PTO)
    • Health, dental, and vision coverage
    • Employer contribution to Health Savings Accounts (HSA)
    • Generous parental leave policy
    • Full employee coverage for life insurance
    • Home office stipend
    • Cell phone/internet reimbursement
    • Company-paid holidays
    • 401(K) plan
    • Salary range $175,000-$230,000 plus equity, with flexibility based on qualifications
    • Company recognized as one of America's Top Startup Employers 2026 by Forbes
    • Company recognized as #1 most promising healthcare RCM startup of 2025 by Black Book Market Research
    • Company recognized as one of the fastest-growing GenAI startups to watch by AIM Research
    • CEO ranked among Top 50 Healthcare Technology CEOs by Healthcare Technology Report
    • Certified as a Great Place to Work for 6 consecutive years

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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